Dr. Oswaldo Trelles

University of Malaga, Spain

über das Thema:

High performance computing applied to life sciences

Zeit: Tue 30.10.2007, 10:15, 60 Minuten
Ort: K012D

Zusammenfassung

Dr. Oswaldo Trelles holds a B.S. degree in industrial engineering from the Universidad Catolica of Peru and a M.Sc. degree in Computer Sciences from the Polytechnical University of Madrid (Spain). He got his Ph.D. degree working on Parallelization of Biological Sequences Analysis Algorithms on Supercomputers. Recently he got a M.Sc. degree in Cellular and Molecular Biology at the University of Malaga (Spain).
Currently he is working as Associated Professor in the Department of Computer Architecture in the University of Malaga where he also teaches Fundamental and Design of Operating Systems and Parallel applications in bioinformatics; in the Computer Science faculty.
His main interests in research include parallel paradigms for distributed and shared memory parallel computers, data mining and automatic knowledge discovering in biological and biomedical data and architecture for integration of data and services in the bioinformatics field.
His group which is both an academic and research group has been involved in the last twelve years in giving solutions to bioinformatics and biomedical issues linked to life sciences. The group provides a multidisciplinary top level scientific environment embracing more than 30 research and research-related staff with long experience of interfacing with biologists and medical researchers. The group has medical and biological expertise, is competent to bridge data and also has in-house computer support. Its staff is trained to link between teams specialised in bioinformatics and in biomedical sciences. As reference, the group leaded by Dr. Trelles implements the service and data integration platform of the National Institute of Bioinformatics in Spain (Note 5).
Their main lines of research are focused in providing a multidisciplinary environment where concrete and demanding biological data analysis problems should be solved by a combination of experimental and computational approaches. On the experimental side we deal with medical and biological researchers that provide with structural, evolutionary and functional information in the genomic and proteomic field. On the computational side our goal goes from the development of new tools, their optimization and the use of high performance computing to deal with hard computing problems.
In this talk Dr. Trelles will present an overview of the bioinformtics problems addresed in his group, starting from the proposal of high performance computing solutions in the field of sequence analysis and datamining techniques, and walking throught biological video analysis, gene-expression software to arrive to the integration of bioinformatics distributed services and data. Rather than a detailed review of specific techniques developed or used in the research group, the speech will be focused in the general description of the working environment in the group with the aim to identify common lines of interest.